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The use of GIS-based network analysis capabilities for location-aware emergency messaging: a prototype application

The relevance of this paper lies at the crux of any urban emergency response infrastructure. The effectiveness of any emergency response system depends greatly on both the information content of the message that is relayed by first responders as well as the time window that the system operates in. The system developed in this project will try to address this gap by enabling a centralized emergency authority to transmit location-aware situation assessment of any specific emergency event.

Details

language		english
wordcount		8600 (cca 24 pages)
contextual quality		N/A
language level		N/A
price		free
sources		30

Table of contents

List of maps and figures vi
List of tables vii
1. Introduction 1
1.1. Aim 3
1.2. Objectives 3
1.3. Significance 3
1.4. Methods 4
2. Relevant case studies 5
2.1. GIS MultiViewer for real-time GPS visualisation for public security 5
2.2. Fairfax County Community Services Board Emergency Response System: Notifier 6
2.3. WIPER: The Integrated Wireless Phone Based Emergency Response System 6
2.4. GIS, automatic vehicle location and emergency response for electric utilities 7
3. Methods 8
3.1. The proposed application context and constraints 8
3.2. Preparing network data 8
3.3. Creating network data in ArcView 8
Travel cost 10
One way travel 10
Overpasses and underpasses 10
Preparing the network for directions 10
3.4. Geocoding and address matching 10
3.5. Specifying contact details for respondents 11
3.6. Data sources 13
3.7. The Architecture of the system, prerequisites 15
3.8. The program flow 15
3.9. GUI integration: 15
4. Results and demonstration, the prototype system 16
4.1. Input data specification 16
4.2. Internet setting specification 18
4.3. Event location search 19
4.4. Specification of civic emergency or 911 call 22
4.5. Messaging 24
5. Acknowledgements 28
6. References 29
Appendix A: Avenue code (In alphabetical order) 32
Z_EM_change_NetDef_DirCost 32
Z_EM_change_NetDef_TravCost 32
Z_EM_change_NetDefcbo 32
Z_EM_change_strtcbo 32
Z_EM_change_zoomcbo 33
Z_EM_click_eventlocation 34
Z_EM_click_servicelocation 37
Z_EM_click_findbyadd 40
Z_EM_close 41
Z_EM_ok_setinternet 41
Z_EM_ok_setservice 42
Z_EM_open_civicservice 42
Z_EM_open_eventinfo 43
Z_EM_open_servicechoice 44
Z_EM_open_setinternet 44
Z_EM_open_setservice 45
Z_EM_open_zoom_options 46
Z_EM_open_zoomDlg 46
Z_EM_sendmail 47

Preview of the essay: The use of GIS-based network analysis capabilities for location-aware emergency messaging: a prototype application

According to Morrow (1999), disaster vulnerability is a social construct, and similarly, urban civic emergencies are ubiquitous across the world.
Although a number of natural and potentially anthropogenic hazards may exist in a specific location at any given time, the scale of vulnerability comes into existence when people are exposed to such hazards. With an increasing number of people coming in contact with potentially hazardous natural and anthropogenic disaster prone situations, emergency management efforts need a suite of information needs to cope with such situations. Any emergency management and disaster mitigation plan therefore needs real-time and detailed information on the location, information of the quantum of risk involved and the number and nature of people at risk to that specific situation. Integrating such information in quantitative, qualitative and locational terms is the ambit of geographic information system (GIS) enabled decision support systems (DSS) (Contini et al. 2000).
Similar to information needs for emergency planning; civic authorities usually grapple with increasing urbanization and the delivery ...
... responders in a MIME compliant email message.

4.5. Messaging
On clicking ‘OK’ on this dialog, the items selected are written to a text message, the algorithm cycles through each feature theme representing each class of responders (police, hospital and fire-stations for 911 type calls and civic authorities for civic amenity requests) and finds the facility closest the event location. Each unit nearest to the event location is selected on the basis of the cost specified in preceding steps. After the algorithm runs its course, it shows a message that says “Emergency messages sent” and exits. The routes for each unit of each facility are drawn on the display for reference purposes. An example of a typical text message to a hospital is as follows.

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Comments

Princess R.

This research work has a very kilometric discussion yet it gives the readers so many ideas that be grinded by the teeth.

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